跳到主要导航 跳到搜索 跳到主要内容

Seasonal modulation of the spring-neap response of Yangtze Estuary turbidity maximum: Movement, amplitude, and phase lag via remote sensing

  • Jie Feng
  • , Qian Yu*
  • , Shiyi Cao
  • , Zhiyun Du
  • , Hangjie Lin
  • , Ya Ping Wang
  • , Yunwei Wang
  • *此作品的通讯作者
  • Nanjing University
  • College of William and Mary
  • Boston University
  • Nanjing Normal University

科研成果: 期刊稿件文章同行评审

摘要

Estuarine turbidity maximum zones (ETMs) exhibit significant spring-neap and seasonal variations. Quantifying these dynamics from sparse, long-term remote sensing data is crucial for understanding ETM evolution. Using hourly GOCI satellite imagery (2011–2021) from the Yangtze Estuary, we applied Lomb-Scargle periodogram and phase-folded methods to extract the horizontal movement characteristics (amplitude and phase) of the ETM, tracked via 150, 100, and 50 mg/L SSC isolines. We found that the ETM extent has obvious spring-neap variations that lag the tidal cycle. Notably, high-SSC regions showed heightened sensitivity to tidal forcing: the 150 mg/L isoline had a larger amplitude (5.05 km) and shorter lag (1.42 days) compared to the 50 mg/L isoline (4.29 km amplitude, 1.99-day lag). Both amplitude and phase also exhibited significant seasonality. The phase lag proved highly sensitive to these seasonal changes: it was most pronounced in summer (a 2.44-day lag), decreased in spring (1.32 days) and autumn (0.65 days), and became a slight phase lead in winter (−0.13 days). These seasonal dynamics are linked to variations in sediment supply, waves, and river discharge. This study's approach provides a robust framework for extracting ETM spring-neap characteristics from sparse satellite data, clarifying multi-timescale ETM responses for similar estuarine studies.

源语言英语
文章编号109624
期刊Estuarine, Coastal and Shelf Science
328
DOI
出版状态已出版 - 1月 2026
已对外发布

指纹

探究 'Seasonal modulation of the spring-neap response of Yangtze Estuary turbidity maximum: Movement, amplitude, and phase lag via remote sensing' 的科研主题。它们共同构成独一无二的指纹。

引用此